article · Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring) · 2022
The methods of automatic decoding of agricultural land boundaries
V. A. Pantyushin, O.V. Mayorova
Cited by 0Abstract and details only
Abstract
The concept "image boundaries" is proposed to be considered not only as an object of decryption, but also as a direct decryption feature of land plots. The article deals with the theoretical and practical issues of automation of decoding agricultural land based on the selection of their boundaries in digital images. Analysis of ways and methods of decoding in order to select boundaries allows us to conclude about the effectiveness of using image segmentation in the processes of preprocessing and automatic selection of boundaries in a digital image. It is proposed to use the well-known operators of spatial differentiation with subsequent thresholding for image segmentation, such as Roberts, Sobel, and Laplace operators. The visual analysis of the results of digital image processing shows that the most expedient and appropriate way is to use the Laplace operator to solve the problem of identifying land use boundaries. The experimental studies show that the number of selected contours in the image will depend on the measure of the threshold value, which allows the elements to be defined as border points.
Cite this paper
Pantyushin, V. A., & Mayorova, O. (2022). The methods of automatic decoding of agricultural land boundaries. Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring), 230–237. https://doi.org/10.33920/sel-04-2203-09
Pantyushin, V. A., and O.V. Mayorova. “The methods of automatic decoding of agricultural land boundaries.” Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring), no. 3, 2022, pp. 230–37, https://doi.org/10.33920/sel-04-2203-09.
Pantyushin, V. A., and O.V. Mayorova. 2022. “The methods of automatic decoding of agricultural land boundaries.” Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring): 230–37. https://doi.org/10.33920/sel-04-2203-09.
Pantyushin, V.A. and Mayorova, O. (2022) ‘The methods of automatic decoding of agricultural land boundaries’, Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring), pp. 230–237. Available at: https://doi.org/10.33920/sel-04-2203-09.
@article{pantyushin2022methods,
title = {{The methods of automatic decoding of agricultural land boundaries}},
author = {Pantyushin, V. A. and Mayorova, O.V.},
journal = {Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring)},
number = {3},
pages = {230--237},
year = {2022},
doi = {10.33920/sel-04-2203-09}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.